Conor Huey-Burns

• Lead marketing science initiatives focused on ad measurement, audience segmentation, and data-driven insights to optimize SMB advertising performance.
• Design and execute quantitative research projects, delivering actionable recommendations to enhance digital media performance.
• Partner with sales and marketing teams to drive advertiser adoption of preferred measurement methodologies and best practices.
• Develop predictive models and data visualization dashboards to monitor marketing effectiveness.
• Advocate for SMB advertisers, ensuring Meta's solutions are tailored to their unique needs.
• Conduct in-depth market research and audience behavior analysis to improve ad effectiveness.

Key Achievements:
✔ Increased advertiser ROI by 35% through optimized targeting strategies and data-backed campaign improvements.
✔ Designed automated reporting systems, reducing manual analysis time by 40%.
✔ Developed and scaled measurement frameworks that improved digital advertising efficiency for SMBs.

• Led data-driven marketing performance reviews, identifying key growth opportunities for advertisers and sales teams.
• Implemented A/B testing strategies to refine SMB advertising approaches and optimize performance.
• Developed and maintained a centralized measurement library for streamlined data analysis.
• Built cross-functional partnerships to ensure alignment between sales, research, and product teams.

Key Achievements:
✔ Conducted ad-effectiveness research that influenced strategic decisions for SMB marketing campaigns.
✔ Improved customer acquisition efficiency by 28% through refined targeting methodologies.

• Designed and executed marketing analytics initiatives to drive insights into consumer behavior and media consumption.
• Worked with cross-functional teams to align measurement strategies with business objectives.
• Conducted quantitative research on digital advertising effectiveness and audience engagement trends.